Data Engineer

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Jade Global

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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python Hadoop SQL kafka Spark Airflow Hive Databricks RedShift T SQL Analytics Amazon S3 ETL

Job Description

Data Engineer2


  • Build relationships with key business, product, and engineering partners, align company and org vision with technical roadmaps and deconstruct and translate complex, ambiguous business problems into prioritized, outcome-based data and analytics initiatives.
  • Ideate, develop, and launch high quality, self-service data and analytics products and experiences that accelerate business-critical decision making.
  • Act as an advocate and subject matter expert for customer business and data consuming teams to define and drive improvement and maturity of data and analytics strategies and roadmaps.
  • Provide thought leadership and collaboration with engineering partners to develop sustainable cross functional data architectures and processes throughout the data lifecycle.
  • Stay current on industry and technology trends to identify and champion new approaches and innovation and continuously improve the quality, accessibility, and scalability of customer data platforms and products.
  • Provide mentorship and support to team members and colleagues and promote collaboration, growth, and adoption of best practices.


  • 5+ years experience working in data engineering, analytics, business intelligence, data infrastructure or equivalent
  • Deep experience in ETL development, performance tuning, and query optimization
  • Ability to design, architect and implement high quality, standards-based data pipelines, dimensional data models, and analytical data products and platforms.
  • Experience with data processing frameworks and tools such as Redshift, Hadoop, Hive, Spark, and Kafka
  • Experience with DBT, data pipeline development using open source technologies/Python
  • Experience with Airflow and Github dev/CICD processes. Databricks and Redshift are main data platforms so candidate need experience using Spark/Parquet/S3 data lakes
  • Excellent SQL skills with experience building data warehouses in a production environment
  • Self-driven, highly motivated and able to learn quickly

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